The economic operation of hydrothermal systems is one of the most challenging problems in the area of power systems because it is a non-linear and non-convex problem. The use of heuristic optimization methods are an attractive alternative to traditional deterministic methods by offering excellent quality in their results with an implementation that is characterized by having a simple concept. This document solves the hydrothermal coordination problem considering the hydraulic coupling of hydroelectric power plants and the valve point effect in thermal power plants using genetic algorithms (GA), the novel grey Wolf algorithm (GWO) and particle swarm optimization method (PSO). In addition, different Key Performance Indicators are proposed to validate the performance achieved by each heuristic technique applied to the planning of the economic dispatch of a multiple set of thermal and hydroelectric power plants for a daily scheduling horizon of 24-hour.
|Title of host publication||ETCM 2021 - 5th Ecuador Technical Chapters Meeting|
|Editors||Monica Karel Huerta, Sebastian Quevedo, Carlos Monsalve|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 12 Oct 2021|
|Event||5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021 - Cuenca, Ecuador|
Duration: 12 Oct 2021 → 15 Oct 2021
|Name||ETCM 2021 - 5th Ecuador Technical Chapters Meeting|
|Conference||5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021|
|Period||12/10/21 → 15/10/21|
Bibliographical notePublisher Copyright:
© 2021 IEEE.
- Economic load dispacth
- Heuristic techniques
- Hydrothermal systems
- Key performance indicators